Burlington, MA, United States of America

Xiaobo Nie

This inventor holds 2 USPTO granted patents. Top assignee: Dassault Systemes Simulia Corp.. Active years: 2020-2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiaobo Nie. Retrieved from https://idiyas.com/inventor/xiaobo-nie-lezbricf

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 7.5

ph-index = 2

Forward Citations = 18(Granted Patents)


Company Filing History:


Years Active: 2020-2021

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2 patents (USPTO):Explore Patents

Title: Innovations by Xiaobo Nie

Introduction

Xiaobo Nie is an accomplished inventor based in Burlington, MA, known for his contributions to the field of computer simulation and porous media. With a total of two patents to his name, he has made significant strides in understanding multi-species flow through porous materials.

Latest Patents

Xiaobo Nie's latest patents include a mass exchange model for relative permeability simulation. This innovation focuses on the computer simulation of physical processes, particularly the simulation of multi-species flow through porous media. It aims to determine and estimate the relative permeabilities for this complex flow, enhancing the understanding of fluid dynamics in various applications.

Career Highlights

Xiaobo Nie is currently employed at Dassault Systèmes Simulia Corp., where he applies his expertise in simulation technologies. His work contributes to advancements in engineering and scientific research, particularly in the realm of fluid dynamics and material science.

Collaborations

Some of Xiaobo Nie's notable coworkers include Bernd Crouse and Raoyang Zhang, who collaborate with him on various projects within the company.

Conclusion

Xiaobo Nie's innovative work in computer simulation and porous media has positioned him as a key figure in his field. His patents reflect a commitment to advancing technology and understanding complex physical processes.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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